当前位置:网站首页>Look! Internet, e-commerce offline big data analysis best practice! (Internet disk link attached)
Look! Internet, e-commerce offline big data analysis best practice! (Internet disk link attached)
2020-11-06 20:27:00 【Programmer interview】
Today I share with you the Internet 、 Knowledge of e-commerce offline big data analysis best practice . Pull down at the end of the text to get the link to the network disk
1. Alibaba cloud best practice channel and sharing group
1.1 Alibaba cloud official website best practice channel
1.2 Alibaba cloud best practice ecosystem
2. Scene description
2.1 Applicable scenario
2.2 Industry label
2.3 product labeling
3. Implementation architecture
4.MaxCompute Product introduction
4.1 Product features
4.2 Product architecture
5.MaxCompute Five product features
5.1 Open the box Online services
5.2 High efficiency Low cost
5.3 Security reliable
5.4 Support a variety of distributed computing models
5.5 Ecological integration
6.MaxCompute Advantages and disadvantages
6.1 advantage
6.2 shortcoming
7. Program advantages
8. The difficulty of scheme adaptation
9.Step by Step
10. Associated programs
Click on the link to get the full document link :https://pan.baidu.com/s/1S1CYXVhTFzGPZzOEY4xSvg Extraction code :cqkb
※ Part of the article comes from the Internet , If there is infringement, please contact to delete ; More articles and materials | Click on the text directly after ↓↓↓ 100GPython Self study Kit Alibaba cloud K8s Actual combat manual [ Alibaba cloud CDN Pit guide ]CDN ECS Operation and maintenance guide DevOps Practice Manual Hadoop Big data combat manual Knative Cloud native application development guide OSS Operation and maintenance manual White paper on cloud native architecture Zabbix Enterprise level distributed monitoring system source document 10G The interview questions of large factories are marked with
版权声明
本文为[Programmer interview]所创,转载请带上原文链接,感谢
边栏推荐
- Humor: hacker programming is actually similar to machine learning!
- Flink's datasource Trilogy 2: built in connector
- Pattern matching: The gestalt approach一种序列的文本相似度方法
- Discussion on the development practice of aspnetcore, a cross platform framework
- Introduction to Google software testing
- Python filtering sensitive word records
- Digital city responds to relevant national policies and vigorously develops the construction of digital twin platform
- Isn't data product just a report? absolutely wrong! There are university questions in this category
- The dynamic thread pool in Kitty supports Nacos and Apollo multi configuration centers
- 小游戏云开发入门
猜你喜欢
【转发】查看lua中userdata的方法
【自学unity2d传奇游戏开发】地图编辑器
C + + and C + + programmers are about to be eliminated from the market
What is alicloud's experience of sweeping goods for 100 yuan?
Markdown tricks
The difference between gbdt and XGB, and the mathematical derivation of gradient descent method and Newton method
一篇文章教会你使用Python网络爬虫下载酷狗音乐
零基础打造一款属于自己的网页搜索引擎
How to use Python 2.7 after installing anaconda3?
It is really necessary to build a distributed ID generation service
随机推荐
The AI method put forward by China has more and more influence. Tianda et al. Mined the development law of AI from a large number of literatures
Xmppmini project details: step by step from the principle of practical XMPP technology development 4. String decoding secrets and message package
Flink的DataSource三部曲之一:直接API
Top 5 Chinese cloud manufacturers in 2018: Alibaba cloud, Tencent cloud, AWS, telecom, Unicom
Elasticsearch Part 6: aggregate statistical query
Basic usage of GDB debugging
常用SQL语句总结
GUI engine evaluation index
StickEngine-架构12-通信协议
【转发】查看lua中userdata的方法
消息队列(MessageQueue)-分析
In depth to uncover the bottom layer of garbage collection, this time let you understand her thoroughly
A course on word embedding
用一个例子理解JS函数的底层处理机制
nacos、ribbon和feign的簡明教程
Mac installation hanlp, and win installation and use
如何在终端启动Coda 2中隐藏的首选项?
How to turn data into assets? Attracting data scientists
Individual annual work summary and 2019 work plan (Internet)
Staying up late summarizes the key points of report automation, data visualization and mining, which is different from what you think